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Teoriya Veroyatnostei i ee Primeneniya, 1980, Volume 25, Issue 2, Pages 381–389
(Mi tvp1183)
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This article is cited in 7 scientific papers (total in 7 papers)
Short Communications
Unbiased estimators and classification problems for multivariate normal populations
R. A. Abusev, Ya. P. Lumel'skiĭ Perm
Abstract:
We obtain the unbiased estimates of multivariate normal probability density and the
unbiased estimates of probability density of the sample mean and the sample covariance
matrix when independent observations have a normal distribution with unknown mean
and variance. This unbiased estimators are used for the construction of the point and
group classification rules. It is shown that the error of group classification tends to zero
when all sample sizes tend to infinity.
Received: 31.01.1978
Citation:
R. A. Abusev, Ya. P. Lumel'skiǐ, “Unbiased estimators and classification problems for multivariate normal populations”, Teor. Veroyatnost. i Primenen., 25:2 (1980), 381–389; Theory Probab. Appl., 25:2 (1981), 377–384
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https://www.mathnet.ru/eng/tvp1183 https://www.mathnet.ru/eng/tvp/v25/i2/p381
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Abstract page: | 309 | Full-text PDF : | 124 | First page: | 1 |
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